The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for a talented and motivated AI Engineer to join our Research and Data Science group. The successful candidate will be responsible for helping us design, build, and deploy AI-driven solutions that improve our products and services. You will have the opportunity to work on cutting-edge projects, collaborate with experienced AI engineers, and learn from industry experts. This is an excellent opportunity to gain valuable experience and develop your skills in the exciting field of AI. The AI Engineer will report directly to the Head of Research and Data Science who will allocate and manage requests of the team.
The Digital, Data, and Design Institute at Harvard (D^3) (re)invents how organizations compete and thrive in the digital world and educates a new generation of leaders. D^3 provides a new architecture for rigorous research, immersive learning, and cutting-edge practice. The Institute is built to dynamically adapt and scale, and responsibilities will evolve over time, visit our website for more information. https://d3.harvard.edu/
Build programs by leveraging Generative AI models.
Experience in accessing and utilizing open-source large language models.
Ability to perform pretraining and fine tuning of large language models.
Assist with the development of AI models and algorithms to solve business problems.
Help design and implement data pipelines for large-scale data processing.
Conduct experiments and perform statistical analysis to evaluate model performance.
Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
Participate in code reviews, testing, and debugging of AI systems.
Build and engineer infrastructure on the cloud (AWS/GCP)
This role is also responsible for other duties as assigned.
Minimum of seven years' post-secondary education or relevant work experience
Additional Qualifications and Skills
Bachelor's degree in Computer Science, Engineering, or related field required
Strong programming skills in Python
Familiarity with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with deploying models to the cloud (AWS/ GCP)
Hands-on experience in using cutting edge Machine learning services such as Generative AI (GPT 4 API, LLaMa models, StableLM, etc).
Experience with data analysis and visualization tools such as Plotly and Matplotlib
Knowledge of software development best practices, including version control, testing, and debugging
Excellent communication and teamwork skills
Ability to work independently and take initiative.
This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus 3 days per week. Specific days and schedule will be determined between you and your manager.
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.
A cover letter is required to be considered for this opportunity.
Harvard Business School will not offer visa sponsorship for this opportunity.
Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment.
Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
Hybrid (partially on-site, partially remote)
Commitment to Equity, Diversity, Inclusion, and Belonging Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.
EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.